LFM2 is an open foundation model built for on‑device AI. Its hybrid architecture provides roughly twice the CPU speed of comparable models, enabling high‑performance inference on phones, laptops, wearables and embedded systems. The model maintains a small memory footprint while delivering state‑of‑the‑art results, allowing developers to run sophisticated AI locally without relying on cloud resources.